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Mistral7B PairRM SPPO ExPO by chujiezheng

 »  All LLMs  »  chujiezheng  »  Mistral7B PairRM SPPO ExPO   URL Share it on

  5532   
  Arxiv:2404.16792   Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chujiezheng/Mistral7B-PairRM-SPPO-ExPO 

Mistral7B PairRM SPPO ExPO Benchmarks

MMLU Pro: 17.24
GPQA: 3.58
MUSR: 8.66
BBH: 13.68
IFEval: 36.73 vs 88 (so35)-58.3%
MATH Lvl 5: 1.81
LLME Score: 0.26084
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral7B PairRM SPPO ExPO (chujiezheng/Mistral7B-PairRM-SPPO-ExPO)

Mistral7B PairRM SPPO ExPO Parameters and Internals

Model Type 
text-generation
Additional Notes 
Evaluation results are available on the Open LLM Leaderboard and detailed description of performance on various tasks is provided.
LLM NameMistral7B PairRM SPPO ExPO
Repository 🤗https://huggingface.co/chujiezheng/Mistral7B-PairRM-SPPO-ExPO 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerchujiezheng
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chujiezheng/Mistral7B-PairRM-SPPO-ExPO.

Rank the Mistral7B PairRM SPPO ExPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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